IgboBert2-finetuned-ner-updated

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0943
• Precision: 0.7711
• Recall: 0.8111
• F1: 0.7906
• Accuracy: 0.9760

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1076	1.0	1234	0.1010	0.6769	0.8077	0.7365	0.9704
0.0433	2.0	2468	0.0943	0.7711	0.8111	0.7906	0.9760

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1